The world's most advanced data center GPU built to accelerate AI, HPC and graphics. Tesla V100 offers the performance of 100 CPUs in a single CPU - enabling data scientists, engineers and researchers to tackle the challenges.
Tesla V100 Performance - Modern high performance computing (HPC) data centers are key to solving some of the world’s most important scientific and engineering challenges. NVIDIA® Tesla® accelerated computing platform powers these modern data centers with the industry-leading applications to accelerate HPC and AI workloads. The Tesla V100 GPU is the engine of the modern data center, delivering breakthrough performance with fewer servers resulting in faster insights and dramatically lower costs. Improved performance and time-to-solution can also have significant favorable impacts on revenue and productivity. Every HPC data center can benefit from the Tesla platform. Over 500 HPC applications in a broad range of domains are optimized for GPUs, including all 15 of the top 15 HPC applications and every major deep learning framework. (Tesla V100 Performance Guide).
GPU Accelerated Applications include:
Deep Learning
Solving important scientific, enterprise, and consumer problems that seemed beyond our reach just a few years back. Every major deep learning framework is optimized for NVIDIA GPUs, enabling data scientists and researchers to leverage artificial intelligence for their work. When running deep learning training and inference frameworks, a data center with Tesla V100 GPUs can save up to 85% in server and infrastructure acquisition costs.
Molecular Dynamics
Represents a large share of the workload in an HPC data center. 100% of the top MD applications are GPU-accelerated, enabling scientists to run simulations they couldn’t perform before with traditional CPU-only versions of these applications. When running MD applications, a data center with Tesla V100 GPUs can save up to 80% in server and infrastructure acquisition costs.
Quantum Chemistry
Simulations are key to the discovery of new drugs and materials and consume a large part of the HPC data center's workload. 60% of the top QC applications are accelerated with GPUs today. When running QC applications, a data center's workload with Tesla V100 GPUs can save over 30% in server and infrastructure acquisition costs.
Physics
From fusion energy to high energy particles, physics simulations span a wide range of applications in the HPC data center. Many of the top physics applications are GPU-accelerated, enabling insights previously not possible. A data center with Tesla V100 GPUs can save up to 75% in server acquisition cost when running GPU-accelerated physics applications.
Geoscience simulations
Key to the discovery of oil and gas and performing geological modeling. Many of the top geoscience applications are accelerated with GPUs today. When running Geoscience applications, a data center with Tesla V100 GPUs can save up to 70% in server and infrastructure acquisition costs.
Engineering simulations
key to developing new products across industries by modeling flows, heat transfers, finite element analysis and more. Many of the top Engineering applications are accelerated with GPUs today. When running Engineering applications, a data center with NVIDIA® Tesla® V100 GPUs can save over 20% in server and infrastructure acquisition costs and over 50% in software licensing costs.
HPC Benchmarks
Provide an approximation of how a system will perform at production-scale and help to assess the relative performance of different systems. The top benchmarks have GPU-accelerated versions and can help you understand the benefits of running GPUs in your data center.
Tesla V100 Performance - Modern high performance computing (HPC) data centers are key to solving some of the world’s most important scientific and engineering challenges. NVIDIA® Tesla® accelerated computing platform powers these modern data centers with the industry-leading applications to accelerate HPC and AI workloads. The Tesla V100 GPU is the engine of the modern data center, delivering breakthrough performance with fewer servers resulting in faster insights and dramatically lower costs. Improved performance and time-to-solution can also have significant favorable impacts on revenue and productivity. Every HPC data center can benefit from the Tesla platform. Over 500 HPC applications in a broad range of domains are optimized for GPUs, including all 15 of the top 15 HPC applications and every major deep learning framework. (Tesla V100 Performance Guide).
GPU Accelerated Applications include:
Deep Learning
Solving important scientific, enterprise, and consumer problems that seemed beyond our reach just a few years back. Every major deep learning framework is optimized for NVIDIA GPUs, enabling data scientists and researchers to leverage artificial intelligence for their work. When running deep learning training and inference frameworks, a data center with Tesla V100 GPUs can save up to 85% in server and infrastructure acquisition costs.
Molecular Dynamics
Represents a large share of the workload in an HPC data center. 100% of the top MD applications are GPU-accelerated, enabling scientists to run simulations they couldn’t perform before with traditional CPU-only versions of these applications. When running MD applications, a data center with Tesla V100 GPUs can save up to 80% in server and infrastructure acquisition costs.
Quantum Chemistry
Simulations are key to the discovery of new drugs and materials and consume a large part of the HPC data center's workload. 60% of the top QC applications are accelerated with GPUs today. When running QC applications, a data center's workload with Tesla V100 GPUs can save over 30% in server and infrastructure acquisition costs.
Physics
From fusion energy to high energy particles, physics simulations span a wide range of applications in the HPC data center. Many of the top physics applications are GPU-accelerated, enabling insights previously not possible. A data center with Tesla V100 GPUs can save up to 75% in server acquisition cost when running GPU-accelerated physics applications.
Geoscience simulations
Key to the discovery of oil and gas and performing geological modeling. Many of the top geoscience applications are accelerated with GPUs today. When running Geoscience applications, a data center with Tesla V100 GPUs can save up to 70% in server and infrastructure acquisition costs.
Engineering simulations
key to developing new products across industries by modeling flows, heat transfers, finite element analysis and more. Many of the top Engineering applications are accelerated with GPUs today. When running Engineering applications, a data center with NVIDIA® Tesla® V100 GPUs can save over 20% in server and infrastructure acquisition costs and over 50% in software licensing costs.
HPC Benchmarks
Provide an approximation of how a system will perform at production-scale and help to assess the relative performance of different systems. The top benchmarks have GPU-accelerated versions and can help you understand the benefits of running GPUs in your data center.
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